The disclosure herein describes using a monitoring tool and a management tool from a cloud native system to monitor and manage an application executing on a legacy system. Network addresses of services running in the application on the legacy systems are discovered. Based on the discovered addresses, a probe is configured for execution on the legacy system by a monitoring tool deployed on the legacy system to obtain metrics data associated with the services running on the legacy system, the metrics data representing execution loads of the application. A management tool deployed on the cloud native system receives the obtained metrics data. The management tool compares the metrics data to one or more performance thresholds associated with the application. Based on the comparison, the management tool adjusts a quantity of instances of the application running on the cloud native system, enabling the cloud native system to share the execution loads.
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2. The computerized method of claim 1, wherein the obtained metrics data includes a quantity of transactions being processed by the application executing on the legacy system.
3. The computerized method of claim 2, wherein automatically triggering an adjustment of the quantity of instances of the application includes starting at least one instance of the application on the cloud native system to process one or more transactions of the quantity of transactions.
7. The computerized method of claim 1, wherein automatically triggering an adjustment of the quantity of instances of the application executing on the cloud native system includes starting at least one instance of the application on the cloud native system and enabling the at least one started instance to use one or more of additional computing resources, memory resources, disk resources, and network resources of the cloud native system to share the execution load.
8. The computerized method of claim 1, wherein the automatic triggering of the adjustment of the quantity of instances of the application occurs during transitioning of the application from the legacy system to the cloud native system.
10. The system of claim 9, wherein the obtained metrics data includes a quantity of transactions being processed by the application executing on the legacy system.
11. The system of claim 10, wherein automatically triggering an adjustment of the quantity of instances of the application includes starting at least one instance of the application on the cloud native system to process one or more transactions of the quantity of transactions.
15. The system of claim 9, wherein automatically triggering an adjustment of the quantity of instances of the application executing on the cloud native system includes starting at least one instance of the application on the cloud native system and enabling the at least one started instance to use one or more of additional computing resources, memory resources, disk resources, and network resources of the cloud native system to share the execution load.
16. The system of claim 9, wherein the automatic triggering of the adjustment of the quantity of instances of the application occurs during transitioning of the application from the legacy system to the cloud native system.
18. The one or more computer storage media of claim 17, wherein the obtained metrics data includes a quantity of transactions being processed by the application executing on the legacy system.
19. The one or more computer storage media of claim 18, wherein automatically triggering an adjustment of the quantity of instances of the application includes starting at least one instance of the application on the cloud native system to process one or more transactions of the quantity of transactions.
20. The one or more computer storage media of claim 17, wherein the network addresses comprise Internet Protocol (IP) addresses of the services.
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April 9, 2021
March 14, 2023
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